Global Data Engineering Lead (Hybrid)

Perkins Coie LLP; Boise (ID); Hybrid; USD 170,000 - 250,000; Full time

Benefits offered by this job

Annual discretionary bonus

Medical, dental, and vision insurance

Accrued paid time-off starting at 20

Parental leave

Up to 10 paid holidays

Family care benefits

Job summary

Ashurst Perkins Coie US LLP is seeking a Senior Manager, Data Engineering to lead global data engineering efforts, drive architecture and roadmap, and oversee teams across regions. The role focuses on scalable data platforms, dimensional modeling, and enterprise data products to empower reporting, analytics, and AI initiatives.

The candidate will mentor teams, set engineering standards, optimize performance and cost, and partner with business and technology leaders to align strategy and

Qualifications

• Bachelor's degree in computer science, engineering, or related discipline; relevant experience may substitute.
• 7+ years designing database solutions across on-prem and cloud, with multi-region experience.
• 5+ years connecting to APIs and troubleshooting data connectivity issues.
• 3+ years managing people managers or team leads across multiple offices or regions.
• Advanced SQL, Python, PySpark for data engineering and automation.
• Deep expertise in databases, ETL, data modeling, and warehousing.

Responsibilities

• Define and drive the Firm's global data engineering strategy, architecture, and roadmap.
• Lead, mentor, and empower high-performing global engineering teams.
• Champion hands-on technical excellence across Databricks, dimensional modeling, pipelines, orchestration, and integration.
• Build trusted dimensional models, curated datasets, and enterprise data products.
• Establish reusable engineering standards that elevate scalability, reliability, and consistency.
• Optimize platform performance, resilience, maintainability, and cost.
• Serve as the technical authority for complex architecture, integration, and production challenges.
• Orchestrate cross-regional teams, fostering collaboration and effective global delivery.
• Drive adoption of modern tools, standards, and engineering practices.
• Accelerate data onboarding and integration from diverse internal and external sources.

Skills

SQL

Python

PySpark

Databricks

Data modeling

ETL

Warehousing

APIs

Leadership

Executive communication

Education

Bachelor's degree in computer science, engineering, or related discipline

Tools

Databricks

Azure

Power BI

Elite 3E data structures

Job description

Ashurst Perkins Coie US LLP is seeking a Senior Manager, Data Engineering to lead global data engineering efforts, drive architecture and roadmap, and oversee teams across regions. The role focuses on scalable data platforms, dimensional modeling, and enterprise data products to empower reporting, analytics, and AI initiatives.

The candidate will mentor teams, set engineering standards, optimize performance and cost, and partner with business and technology leaders to align strategy and